This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: The Innovative Mind of Nemanja Djuric
Introduction
Nemanja Djuric is a notable inventor based in Belgrade, Serbia. He has made significant contributions to the field of predictive modeling through his innovative patent. His work focuses on utilizing physiological feedback to enhance the accuracy of predictive models, showcasing his expertise in the intersection of technology and human behavior.
Latest Patents
Djuric holds a patent titled "Physiological feedback for predictive models." This patent relates to the use of biosignals to evaluate predictions made by predictive models. For instance, user attention can be inferred from signals such as gaze. When a user directs their attention to a prediction output by a predictive model, signals like electroencephalogram readings or pupillary diameter measurements can be processed. This processing helps determine whether the user perceives an error in the prediction. If an error is perceived, an error indication can be output, which can be used to evaluate, replace, or train the predictive model.
Career Highlights
Nemanja Djuric is currently associated with Microsoft Technology Licensing, LLC, where he continues to innovate and develop new technologies. His work at Microsoft allows him to collaborate with some of the brightest minds in the industry, further enhancing his contributions to the field.
Collaborations
One of his notable coworkers is Yu-Te Wang, with whom he collaborates on various projects. Their combined expertise contributes to the advancement of technology and innovation within their field.
Conclusion
Nemanja Djuric's work exemplifies the power of innovation in predictive modeling through the integration of physiological feedback. His contributions are paving the way for more accurate and user-responsive predictive technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
